Task
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 24054 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.7905, kappa: 0.7694, kb_relative_information_score: 0.783, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7947, predictive_accuracy: 0.7925, prior_entropy: 3.3219, recall: 0.7925, relative_absolute_error: 0.2306, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.6791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5456, f_measure: 0.163, kappa: 0.0911, kb_relative_information_score: 0.1446, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6981, predictive_accuracy: 0.182, prior_entropy: 3.3219, recall: 0.182, relative_absolute_error: 0.9089, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4045, root_relative_squared_error: 1.3482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.8171, kappa: 0.7933, kb_relative_information_score: 0.8055, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8269, predictive_accuracy: 0.814, prior_entropy: 3.3219, recall: 0.814, relative_absolute_error: 0.2067, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.6429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.6799, kappa: 0.6283, kb_relative_information_score: 0.6502, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7534, predictive_accuracy: 0.6655, prior_entropy: 3.3219, recall: 0.6655, relative_absolute_error: 0.3717, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.8622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, f_measure: 0.7834, kappa: 0.7606, kb_relative_information_score: 0.7746, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7878, predictive_accuracy: 0.7845, prior_entropy: 3.3219, recall: 0.7845, relative_absolute_error: 0.2394, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.844, kappa: 0.8261, kb_relative_information_score: 0.8363, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8447, predictive_accuracy: 0.8435, prior_entropy: 3.3219, recall: 0.8435, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.5897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.8342, kappa: 0.8167, kb_relative_information_score: 0.8275, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8341, predictive_accuracy: 0.835, prior_entropy: 3.3219, recall: 0.835, relative_absolute_error: 0.1833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.6055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.8349, kappa: 0.8156, kb_relative_information_score: 0.8264, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8361, predictive_accuracy: 0.834, prior_entropy: 3.3219, recall: 0.834, relative_absolute_error: 0.1844, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.6074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.7426, kappa: 0.6972, kb_relative_information_score: 0.715, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8011, predictive_accuracy: 0.7275, prior_entropy: 3.3219, recall: 0.7275, relative_absolute_error: 0.3028, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.7782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8433, kappa: 0.8261, kb_relative_information_score: 0.8363, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8439, predictive_accuracy: 0.8435, prior_entropy: 3.3219, recall: 0.8435, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.5897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6033, f_measure: 0.3072, kappa: 0.2067, kb_relative_information_score: 0.2533, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6968, predictive_accuracy: 0.286, prior_entropy: 3.3219, recall: 0.286, relative_absolute_error: 0.7933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3779, root_relative_squared_error: 1.2596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.6979, kappa: 0.6517, kb_relative_information_score: 0.6722, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7605, predictive_accuracy: 0.6865, prior_entropy: 3.3219, recall: 0.6865, relative_absolute_error: 0.3483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.8347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, f_measure: 0.4481, kappa: 0.3883, kb_relative_information_score: 0.4243, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.4949, predictive_accuracy: 0.4495, prior_entropy: 3.3219, recall: 0.4495, relative_absolute_error: 0.6117, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3318, root_relative_squared_error: 1.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7694, f_measure: 0.6037, kappa: 0.5389, kb_relative_information_score: 0.566, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6964, predictive_accuracy: 0.585, prior_entropy: 3.3219, recall: 0.585, relative_absolute_error: 0.4611, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.8013, kappa: 0.7811, kb_relative_information_score: 0.794, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8032, predictive_accuracy: 0.803, prior_entropy: 3.3219, recall: 0.803, relative_absolute_error: 0.2189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.6616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8061, f_measure: 0.659, kappa: 0.6122, kb_relative_information_score: 0.635, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.761, predictive_accuracy: 0.651, prior_entropy: 3.3219, recall: 0.651, relative_absolute_error: 0.3878, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.8807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.8407, kappa: 0.8228, kb_relative_information_score: 0.8332, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8413, predictive_accuracy: 0.8405, prior_entropy: 3.3219, recall: 0.8405, relative_absolute_error: 0.1772, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.5954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.7426, kappa: 0.7139, kb_relative_information_score: 0.7307, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7692, predictive_accuracy: 0.7425, prior_entropy: 3.3219, recall: 0.7425, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.7565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.8203, kappa: 0.8006, kb_relative_information_score: 0.8123, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8213, predictive_accuracy: 0.8205, prior_entropy: 3.3219, recall: 0.8205, relative_absolute_error: 0.1994, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.6316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8313, kappa: 0.8128, kb_relative_information_score: 0.8238, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8316, predictive_accuracy: 0.8315, prior_entropy: 3.3219, recall: 0.8315, relative_absolute_error: 0.1872, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.6119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8445, kappa: 0.8267, kb_relative_information_score: 0.8369, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8452, predictive_accuracy: 0.844, prior_entropy: 3.3219, recall: 0.844, relative_absolute_error: 0.1733, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.5888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.842, kappa: 0.825, kb_relative_information_score: 0.8353, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8423, predictive_accuracy: 0.8425, prior_entropy: 3.3219, recall: 0.8425, relative_absolute_error: 0.175, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.5916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.8163, kappa: 0.795, kb_relative_information_score: 0.8071, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8195, predictive_accuracy: 0.8155, prior_entropy: 3.3219, recall: 0.8155, relative_absolute_error: 0.205, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.6403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.8366, kappa: 0.8189, kb_relative_information_score: 0.8295, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8369, predictive_accuracy: 0.837, prior_entropy: 3.3219, recall: 0.837, relative_absolute_error: 0.1811, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.6018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.8424, kappa: 0.825, kb_relative_information_score: 0.8353, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.843, predictive_accuracy: 0.8425, prior_entropy: 3.3219, recall: 0.8425, relative_absolute_error: 0.175, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.5916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.8358, kappa: 0.8172, kb_relative_information_score: 0.828, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8367, predictive_accuracy: 0.8355, prior_entropy: 3.3219, recall: 0.8355, relative_absolute_error: 0.1828, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.6046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.8353, kappa: 0.8167, kb_relative_information_score: 0.8275, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.836, predictive_accuracy: 0.835, prior_entropy: 3.3219, recall: 0.835, relative_absolute_error: 0.1833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.6055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5206, f_measure: 0.1087, kappa: 0.0411, kb_relative_information_score: 0.0975, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7173, predictive_accuracy: 0.137, prior_entropy: 3.3219, recall: 0.137, relative_absolute_error: 0.9589, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4155, root_relative_squared_error: 1.3848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.8408, kappa: 0.8233, kb_relative_information_score: 0.8337, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8411, predictive_accuracy: 0.841, prior_entropy: 3.3219, recall: 0.841, relative_absolute_error: 0.1767, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.5944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.8442, kappa: 0.8272, kb_relative_information_score: 0.8374, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8446, predictive_accuracy: 0.8445, prior_entropy: 3.3219, recall: 0.8445, relative_absolute_error: 0.1728, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.5878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.8426, kappa: 0.8256, kb_relative_information_score: 0.8358, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8428, predictive_accuracy: 0.843, prior_entropy: 3.3219, recall: 0.843, relative_absolute_error: 0.1744, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.5907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.8306, kappa: 0.8117, kb_relative_information_score: 0.8227, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8314, predictive_accuracy: 0.8305, prior_entropy: 3.3219, recall: 0.8305, relative_absolute_error: 0.1883, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.6137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7419, f_measure: 0.5611, kappa: 0.4839, kb_relative_information_score: 0.5142, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6776, predictive_accuracy: 0.5355, prior_entropy: 3.3219, recall: 0.5355, relative_absolute_error: 0.5161, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3048, root_relative_squared_error: 1.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.8386, kappa: 0.8206, kb_relative_information_score: 0.8311, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8393, predictive_accuracy: 0.8385, prior_entropy: 3.3219, recall: 0.8385, relative_absolute_error: 0.1794, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.5991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8324, kappa: 0.8128, kb_relative_information_score: 0.8238, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.834, predictive_accuracy: 0.8315, prior_entropy: 3.3219, recall: 0.8315, relative_absolute_error: 0.1872, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.6119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.8351, kappa: 0.8167, kb_relative_information_score: 0.8275, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8357, predictive_accuracy: 0.835, prior_entropy: 3.3219, recall: 0.835, relative_absolute_error: 0.1833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.6055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.7726, kappa: 0.7494, kb_relative_information_score: 0.7642, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7826, predictive_accuracy: 0.7745, prior_entropy: 3.3219, recall: 0.7745, relative_absolute_error: 0.2506, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.7079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.8195, kappa: 0.7961, kb_relative_information_score: 0.8081, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8286, predictive_accuracy: 0.8165, prior_entropy: 3.3219, recall: 0.8165, relative_absolute_error: 0.2039, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.6386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.7844, kappa: 0.7628, kb_relative_information_score: 0.7767, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7904, predictive_accuracy: 0.7865, prior_entropy: 3.3219, recall: 0.7865, relative_absolute_error: 0.2372, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.6888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7669, f_measure: 0.6, kappa: 0.5339, kb_relative_information_score: 0.5613, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6944, predictive_accuracy: 0.5805, prior_entropy: 3.3219, recall: 0.5805, relative_absolute_error: 0.4661, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.9655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.1072, kappa: 0.04, kb_relative_information_score: 0.0965, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7173, predictive_accuracy: 0.136, prior_entropy: 3.3219, recall: 0.136, relative_absolute_error: 0.96, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4157, root_relative_squared_error: 1.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.7668, kappa: 0.7422, kb_relative_information_score: 0.7574, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7799, predictive_accuracy: 0.768, prior_entropy: 3.3219, recall: 0.768, relative_absolute_error: 0.2578, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8497, kappa: 0.8328, kb_relative_information_score: 0.8426, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8501, predictive_accuracy: 0.8495, prior_entropy: 3.3219, recall: 0.8495, relative_absolute_error: 0.1672, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.5783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.8343, kappa: 0.8167, kb_relative_information_score: 0.8275, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8344, predictive_accuracy: 0.835, prior_entropy: 3.3219, recall: 0.835, relative_absolute_error: 0.1833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.6055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.838, kappa: 0.8194, kb_relative_information_score: 0.8301, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.839, predictive_accuracy: 0.8375, prior_entropy: 3.3219, recall: 0.8375, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.6009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.8038, kappa: 0.785, kb_relative_information_score: 0.7976, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8078, predictive_accuracy: 0.8065, prior_entropy: 3.3219, recall: 0.8065, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.6557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.8257, kappa: 0.8067, kb_relative_information_score: 0.818, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8263, predictive_accuracy: 0.826, prior_entropy: 3.3219, recall: 0.826, relative_absolute_error: 0.1933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.6218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.8468, kappa: 0.8294, kb_relative_information_score: 0.8395, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8473, predictive_accuracy: 0.8465, prior_entropy: 3.3219, recall: 0.8465, relative_absolute_error: 0.1706, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.837, kappa: 0.8194, kb_relative_information_score: 0.8301, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8375, predictive_accuracy: 0.8375, prior_entropy: 3.3219, recall: 0.8375, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.6009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8457, kappa: 0.8283, kb_relative_information_score: 0.8384, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8463, predictive_accuracy: 0.8455, prior_entropy: 3.3219, recall: 0.8455, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.7173, kappa: 0.6789, kb_relative_information_score: 0.6978, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7648, predictive_accuracy: 0.711, prior_entropy: 3.3219, recall: 0.711, relative_absolute_error: 0.3211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2404, root_relative_squared_error: 0.8014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.8413, kappa: 0.8228, kb_relative_information_score: 0.8332, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8423, predictive_accuracy: 0.8405, prior_entropy: 3.3219, recall: 0.8405, relative_absolute_error: 0.1772, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.5954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.8413, kappa: 0.8228, kb_relative_information_score: 0.8332, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8424, predictive_accuracy: 0.8405, prior_entropy: 3.3219, recall: 0.8405, relative_absolute_error: 0.1772, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.5954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.735, kappa: 0.6989, kb_relative_information_score: 0.7166, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7747, predictive_accuracy: 0.729, prior_entropy: 3.3219, recall: 0.729, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.6529, kappa: 0.6156, kb_relative_information_score: 0.6382, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.692, predictive_accuracy: 0.654, prior_entropy: 3.3219, recall: 0.654, relative_absolute_error: 0.3844, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.8769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8152, kappa: 0.7939, kb_relative_information_score: 0.806, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8185, predictive_accuracy: 0.8145, prior_entropy: 3.3219, recall: 0.8145, relative_absolute_error: 0.2061, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.8311, kappa: 0.8117, kb_relative_information_score: 0.8227, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8323, predictive_accuracy: 0.8305, prior_entropy: 3.3219, recall: 0.8305, relative_absolute_error: 0.1883, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.6137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.8311, kappa: 0.8117, kb_relative_information_score: 0.8227, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8323, predictive_accuracy: 0.8305, prior_entropy: 3.3219, recall: 0.8305, relative_absolute_error: 0.1883, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.6137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.8332, kappa: 0.815, kb_relative_information_score: 0.8259, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8336, predictive_accuracy: 0.8335, prior_entropy: 3.3219, recall: 0.8335, relative_absolute_error: 0.185, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.6083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.8463, kappa: 0.8289, kb_relative_information_score: 0.839, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8468, predictive_accuracy: 0.846, prior_entropy: 3.3219, recall: 0.846, relative_absolute_error: 0.1711, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6533, f_measure: 0.4109, kappa: 0.3067, kb_relative_information_score: 0.3474, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7108, predictive_accuracy: 0.376, prior_entropy: 3.3219, recall: 0.376, relative_absolute_error: 0.6933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3533, root_relative_squared_error: 1.1776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.6408, kappa: 0.5867, kb_relative_information_score: 0.611, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7223, predictive_accuracy: 0.628, prior_entropy: 3.3219, recall: 0.628, relative_absolute_error: 0.4133, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.9092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.7264, kappa: 0.695, kb_relative_information_score: 0.7129, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7422, predictive_accuracy: 0.7255, prior_entropy: 3.3219, recall: 0.7255, relative_absolute_error: 0.305, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.8319, kappa: 0.8133, kb_relative_information_score: 0.8243, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8326, predictive_accuracy: 0.832, prior_entropy: 3.3219, recall: 0.832, relative_absolute_error: 0.1867, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.838, kappa: 0.8194, kb_relative_information_score: 0.8301, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.839, predictive_accuracy: 0.8375, prior_entropy: 3.3219, recall: 0.8375, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.6009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.8385, kappa: 0.82, kb_relative_information_score: 0.8306, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8393, predictive_accuracy: 0.838, prior_entropy: 3.3219, recall: 0.838, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.18, root_relative_squared_error: 0.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.8324, kappa: 0.8139, kb_relative_information_score: 0.8248, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8333, predictive_accuracy: 0.8325, prior_entropy: 3.3219, recall: 0.8325, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.183, root_relative_squared_error: 0.6101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.8463, kappa: 0.8289, kb_relative_information_score: 0.839, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8468, predictive_accuracy: 0.846, prior_entropy: 3.3219, recall: 0.846, relative_absolute_error: 0.1711, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.8363, kappa: 0.8178, kb_relative_information_score: 0.8285, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8373, predictive_accuracy: 0.836, prior_entropy: 3.3219, recall: 0.836, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.6037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8396, kappa: 0.8217, kb_relative_information_score: 0.8322, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8404, predictive_accuracy: 0.8395, prior_entropy: 3.3219, recall: 0.8395, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.5972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8388, kappa: 0.8217, kb_relative_information_score: 0.8322, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8388, predictive_accuracy: 0.8395, prior_entropy: 3.3219, recall: 0.8395, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.5972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8441, kappa: 0.8261, kb_relative_information_score: 0.8363, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8449, predictive_accuracy: 0.8435, prior_entropy: 3.3219, recall: 0.8435, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.5897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.7552, kappa: 0.7278, kb_relative_information_score: 0.7438, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.759, predictive_accuracy: 0.755, prior_entropy: 3.3219, recall: 0.755, relative_absolute_error: 0.2722, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.7379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.787, kappa: 0.7667, kb_relative_information_score: 0.7804, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7905, predictive_accuracy: 0.79, prior_entropy: 3.3219, recall: 0.79, relative_absolute_error: 0.2333, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.6831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.827, kappa: 0.8089, kb_relative_information_score: 0.8201, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8281, predictive_accuracy: 0.828, prior_entropy: 3.3219, recall: 0.828, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.6182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.8156, kappa: 0.7967, kb_relative_information_score: 0.8086, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8181, predictive_accuracy: 0.817, prior_entropy: 3.3219, recall: 0.817, relative_absolute_error: 0.2033, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.6377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.8213, kappa: 0.8028, kb_relative_information_score: 0.8144, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8226, predictive_accuracy: 0.8225, prior_entropy: 3.3219, recall: 0.8225, relative_absolute_error: 0.1972, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.8378, kappa: 0.8206, kb_relative_information_score: 0.8311, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8381, predictive_accuracy: 0.8385, prior_entropy: 3.3219, recall: 0.8385, relative_absolute_error: 0.1794, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.5991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.8356, kappa: 0.8167, kb_relative_information_score: 0.8275, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8368, predictive_accuracy: 0.835, prior_entropy: 3.3219, recall: 0.835, relative_absolute_error: 0.1833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.6055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6736, f_measure: 0.4498, kappa: 0.3472, kb_relative_information_score: 0.3856, mean_absolute_error: 0.1175, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7172, predictive_accuracy: 0.4125, prior_entropy: 3.3219, recall: 0.4125, relative_absolute_error: 0.6528, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3428, root_relative_squared_error: 1.1426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7106, f_measure: 0.5178, kappa: 0.4211, kb_relative_information_score: 0.4552, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7171, predictive_accuracy: 0.479, prior_entropy: 3.3219, recall: 0.479, relative_absolute_error: 0.5789, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3228, root_relative_squared_error: 1.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.8477, kappa: 0.8306, kb_relative_information_score: 0.8405, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8482, predictive_accuracy: 0.8475, prior_entropy: 3.3219, recall: 0.8475, relative_absolute_error: 0.1694, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.5821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.8111, kappa: 0.7917, kb_relative_information_score: 0.8039, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8136, predictive_accuracy: 0.8125, prior_entropy: 3.3219, recall: 0.8125, relative_absolute_error: 0.2083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.8468, kappa: 0.8294, kb_relative_information_score: 0.8395, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8473, predictive_accuracy: 0.8465, prior_entropy: 3.3219, recall: 0.8465, relative_absolute_error: 0.1706, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7143, kappa: 0.6739, kb_relative_information_score: 0.6931, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7654, predictive_accuracy: 0.7065, prior_entropy: 3.3219, recall: 0.7065, relative_absolute_error: 0.3261, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.8076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7847, f_measure: 0.6278, kappa: 0.5694, kb_relative_information_score: 0.5948, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7116, predictive_accuracy: 0.6125, prior_entropy: 3.3219, recall: 0.6125, relative_absolute_error: 0.4306, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2784, root_relative_squared_error: 0.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.8266, kappa: 0.8089, kb_relative_information_score: 0.8201, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8294, predictive_accuracy: 0.828, prior_entropy: 3.3219, recall: 0.828, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.6182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.8388, kappa: 0.8206, kb_relative_information_score: 0.8311, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8398, predictive_accuracy: 0.8385, prior_entropy: 3.3219, recall: 0.8385, relative_absolute_error: 0.1794, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.5991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.8226, kappa: 0.8039, kb_relative_information_score: 0.8154, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8246, predictive_accuracy: 0.8235, prior_entropy: 3.3219, recall: 0.8235, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.7659, kappa: 0.7406, kb_relative_information_score: 0.7558, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7703, predictive_accuracy: 0.7665, prior_entropy: 3.3219, recall: 0.7665, relative_absolute_error: 0.2594, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.7203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.8001, kappa: 0.7817, kb_relative_information_score: 0.7945, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8045, predictive_accuracy: 0.8035, prior_entropy: 3.3219, recall: 0.8035, relative_absolute_error: 0.2183, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.6608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.7765, kappa: 0.7539, kb_relative_information_score: 0.7684, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7793, predictive_accuracy: 0.7785, prior_entropy: 3.3219, recall: 0.7785, relative_absolute_error: 0.2461, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.7016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.8136, kappa: 0.7944, kb_relative_information_score: 0.8065, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8158, predictive_accuracy: 0.815, prior_entropy: 3.3219, recall: 0.815, relative_absolute_error: 0.2056, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.6412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.8207, kappa: 0.8017, kb_relative_information_score: 0.8133, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8227, predictive_accuracy: 0.8215, prior_entropy: 3.3219, recall: 0.8215, relative_absolute_error: 0.1983, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, f_measure: 0.4617, kappa: 0.3611, kb_relative_information_score: 0.3987, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7168, predictive_accuracy: 0.425, prior_entropy: 3.3219, recall: 0.425, relative_absolute_error: 0.6389, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3391, root_relative_squared_error: 1.1304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.8473, kappa: 0.83, kb_relative_information_score: 0.84, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8479, predictive_accuracy: 0.847, prior_entropy: 3.3219, recall: 0.847, relative_absolute_error: 0.17, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.5831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.7326, kappa: 0.7061, kb_relative_information_score: 0.7234, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7357, predictive_accuracy: 0.7355, prior_entropy: 3.3219, recall: 0.7355, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.23, root_relative_squared_error: 0.7667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.6512, kappa: 0.6156, kb_relative_information_score: 0.6382, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6933, predictive_accuracy: 0.654, prior_entropy: 3.3219, recall: 0.654, relative_absolute_error: 0.3844, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.8769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8321, kappa: 0.8128, kb_relative_information_score: 0.8238, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8333, predictive_accuracy: 0.8315, prior_entropy: 3.3219, recall: 0.8315, relative_absolute_error: 0.1872, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.6119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.6881, kappa: 0.6456, kb_relative_information_score: 0.6664, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7539, predictive_accuracy: 0.681, prior_entropy: 3.3219, recall: 0.681, relative_absolute_error: 0.3544, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.842,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs